

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service.
This cost factor has an impact on the project, giving us more possibilities to configure other services and greater financial freedom.
I would say I have saved more than a week with Amazon EC2 compared to my previous on-premises setup.
I would rate technical support from Amazon a 10, as we have on-prem AWS experts.
Amazon's customer support is much better than other clouds.
On a scale from one to ten, I would rate the AWS support team a seven.
Amazon EC2 is stable and more economical.
It is somewhat more reliable compared to Azure.
The stability of Google Compute Engine is on par with other servers, akin to using instances from AWS, as no one needs any downtime.
I have heard from multiple people that if you have an Amazon EC2 instance running and you stop it, the billing continues unless you terminate the Amazon EC2 instance.
I think improvements can be made to Amazon EC2 by increasing the memory, offering more instance types, and including GPUs as mentioned in the keynote.
There was not proper documentation on how to install the patch managers and automate patching with System Managers.
I have noticed a positive impact since the deployment of Google Compute Engine; it is simpler.
I found it very cheap and a fair price according to what we need.
The licensing fees for Amazon EC2 are affordable, especially for lower tiers where there are fewer requirements or where the load is very low for product development.
It is difficult to recommend GCP due to its complex architecture.
With the cloud, deployment is easy, and within a minute, we can deploy the server and give it to the developers so they can work on it right away after deployment.
The main benefits Amazon EC2 provides for me as an end user are cost savings, as they are more OpEx costs rather than CapEx for us.
Amazon EC2 offers flexibility.
In GCP, there's a custom configuration feature unlike AWS and Azure.
What I like the most about Google Compute Engine is SSH access and the different price categories.
| Product | Mindshare (%) |
|---|---|
| Amazon EC2 | 14.9% |
| AWS Lambda | 14.7% |
| AWS Fargate | 9.5% |
| Other | 60.9% |
| Product | Mindshare (%) |
|---|---|
| Google Compute Engine | 1.3% |
| Amazon AWS | 13.3% |
| Microsoft Azure | 8.4% |
| Other | 77.0% |
| Company Size | Count |
|---|---|
| Small Business | 31 |
| Midsize Enterprise | 14 |
| Large Enterprise | 30 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 4 |
| Large Enterprise | 9 |
Amazon EC2 is highly valued for its scalability, flexibility, and pay-as-you-go pricing model. It excels in quick deployment and integration with AWS services, helping businesses efficiently manage virtual machines with ease of scaling and resource management.
Designed for enterprises seeking efficient infrastructure management, Amazon EC2 provides diverse instance configurations and powerful security features like encryption and IAM roles. It allows dynamic resource adjustment and auto-scaling, ensuring stability and user-friendly control. While some users find pricing a concern, EC2 remains essential for deploying applications, server management, and migrating systems to the cloud. Enhancements in interfaces, pricing transparency, and integration are desired, yet it's widely used for automation, testing, and AI-driven projects.
What are the main features of Amazon EC2?In industries like finance, healthcare, and retail, Amazon EC2 enables scalable cloud infrastructure, supports ERP applications, and aids in data management with AWS integration. Companies use EC2 for deploying high-traffic web applications, leveraging containerization with Docker and Kubernetes, and enhancing automation in AI and big data projects.
Google Compute Engine provides scalable virtual machines for hosting applications and services with integration into Google's ecosystem. Offering cost-saving options and customizable machine configurations, it supports high availability, effective migration, and flexible resource allocation.
Google Compute Engine stands out by offering seamless integration with Google services and cost-effective options such as Spot VMs and auto-scaling. With SSH access, customizable machine configurations, managed instance groups, and robust API integration, it provides a powerful platform. Enhanced by comprehensive documentation, it supports businesses in their cloud computing and storage requirements. While it is a robust solution, enhancements are needed in SQL query construction, user interface for non-tech users, multi-region support, and container deployment UI. Simplification of security setups and licensing processes, including BYOL, and improvements in hardware availability outside North America could enhance functionality further. Users benefit from its networking capabilities across multiple regions and features like instance templates and managed instances for consistent configurations and high availability, making it a reliable solution for testing, disaster recovery, and migrating workloads from on-premises environments.
What are the key features of Google Compute Engine?In industries such as technology and e-commerce, Google Compute Engine facilitates rapid deployment of virtual machines for hosting applications and services. It supports efficient testing, disaster recovery operations, and workload migration, making it a valuable asset in dynamic business environments that demand reliable cloud solutions.
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